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- ItemDesenvolvimento de aplicativo para dispositivo móvel orientado para a gestão dos custos de projetos de recomposição de áreas degradadas e alteradas(Universidade Federal de Mato Grosso, 2022-02-11) Boldrin, Jeferson Lamartine; Silva, Normandes Matos da; 614.673.591-49; http://lattes.cnpq.br/2644207249389541; Silva, Normandes Matos da; 614.673.591-49; http://lattes.cnpq.br/2644207249389541; Mioto, Camila Leonardo; 060.028.399-94; http://lattes.cnpq.br/2846355335199799; Souza, Antonio Pancracio de; 488.988.481-53; http://lattes.cnpq.br/4947670630701723The innovation research presents the development of an instrument that helps professionals in the restoration of degraded and/or altered areas. This innovation occurred through the adaptation of the methodology of IBAMA's Technical Note 40/2019, which estimates the costs of various management techniques in Brazilian biomes, moving from a static file in "PDF" format to a dynamic system oriented to mobile devices. To characterize the application, the following parameters were considered: Mobility, Accessibility, Interactivity and Relevance, with the goal of reducing risks in estimating the costs of a PRADA. These parameters guided the construction of an application for smartphones with the Andriod system, agile, easy to use that allows professionals to equalize the costs of their projects with a greater degree of assertiveness. The cost spreadsheet of environmental restoration techniques by biome was converted, which previously only existed in PDF format, to an application used on mobile devices using the Kodular platform. The information obtained in the field is saved in the device and later allocated in a database where the user can have access. The application, based on the parameters, provides a list of the techniques available for the chosen biome, which, recorded for a specific budget number, generates a list of the chosen services with their values and the total cost. It is expected that the research will collaborate with the projects for the recovery of degraded areas, so that they are more assertive, in terms of projecting the costs of the management actions established, contributing to the reduction of environmental liabilities, as well as complying with the rules of the Forest Code.
- ItemModelagem da qualidade das águas utilizando o modelo QUAL2Kw : estudo de caso na bacia hidrográfica Rio Vermelho, MT(Universidade Federal de Mato Grosso, 2021-09-03) Hergenräder, Jéssica Angélica; Barbosa, Domingos Sávio; 702.907.921-34; http://lattes.cnpq.br/6896725721269796; Barbosa, Domingos Sávio; 702.907.921-34; http://lattes.cnpq.br/6896725721269796; Mioto, Camila Leonardo; 060.028.399-94; http://lattes.cnpq.br/2846355335199799; Almeida, Isabel Kaufmann de; 326.786.300-72; http://lattes.cnpq.br/7494871013945299In-stream water quality models can be useful in the decision-making process for watershed management, as they allow representing real situations and simulating responses to various strategies, making it possible to predict, for example, the capacity of the river to receive effluents. The main objective of this paper is to evaluate the self-purification capacity of the Vermelho River through the ecological approach of the QUAL2kw mathematical model, considering the contributions of the tributaries and the water and sewage treatment station of Rondonópolis, always considering the limits established by the CONAMA Resolution 357/05 for class rivers 2. For this, the behavior of the Dissolved Oxygen and Biochemical Oxygen Demand variables was evaluated by simulating of three scenarios: (i) maximum selfpurification capacity of the Vermelho River, through a gradual increase in the effluent discharge flow; (ii) untreated polluting load flow from the largest lift station in the sanitary sewage system in the city of Rondonópolis; (iii) increased water captation and as consequence of the release of effluents based on the municipality's population growth until 2036. The historical data on water quality made available by the ANA and Sema monitoring sites, as well as the monitoring campaign, made it possible to have the data needed to implement the model and implement its calibration and validation. The results obtained allowed us to conclude that the QUAL2Kw model presented as an adequate tool for the simulation of the different scenarios proposed in this paper for the stretch of the Vermelho River analyzed. Scenario 2, the most critical, shows the great impact on water quality at the launching point, which continues over several kilometers, reaching the indigenous village Tereza Cristina, which is located after the end of the studied stretch, which raises great concern, as the indigenous population is extremely dependent on water from the river that passes through their village. In general, it can be said that the results obtained in this paper represent a baseline in terms of water quality modeling for the Vermelho River, since there is no previous modeling experience in this region. Finally, the QUAL2kw water quality model implemented in the Vermelho River can be further adjusted based on others monitoring campaigns to consolidate itself as a reliable and effective tool for management and environmental agencies.
- ItemSensoriameno remoto com sensores de aeronaves remotamente pilotadas para aplicações de agricultura de precisão e gestão ambiental(Universidade Federal de Mato Grosso, 2019-09-13) Pessi, Dhonatan Diego; Silva, Normandes Matos da; 614.673.591-49; http://lattes.cnpq.br/2644207249389541; Silva, Normandes Matos da; 614.673.591-49; http://lattes.cnpq.br/2644207249389541; Mioto, Camila Leonardo; 060.028.399-94; http://lattes.cnpq.br/2846355335199799; José, Jefferson Vieira; 315.083.978-56; http://lattes.cnpq.br/0180791633456689The objective of this research was to analyze whether the measurement of invasive species height (CHIS) through images captured by remotely piloted aircraft (drone) could classify with good assertiveness the areas with presence of invasive plants differenting from other areas with vegetation remnant of cerrado. The text was divided in two chapters, the first chapter highlights a first test of CHIS+GPS/GLONASS model, comparing to two other common techniques used in the classification of invasive species: the unsupervised classification k-means and vegetation index NGRDI. MDS and MDT elevation models were produced from the drone images collected in field and posteriorly then processed in PhotoScan software. The CHIS+GPS/GLONASS production was through the subtracting the MDS and MDT models. The comparison between the models occurred in two sample áreas. Some nonparametric statistical tests were used, such as: precision test, general error rate, specificity, sensitivity, Spearman correlation and Cohen's Kappa. In the second chapter, to measure the precision of CHIS+GPS/GLONASS model, the CHIS+RTK model was generated as the observed variable. The comparison between the models took place in the two sampled areas used in the first chapter, by which they were visually compared from graphs and statistical tests. The statistical tests used were: Spearman correlation coefficients (SCC), mean square root canopy height error (RMSEz), mean absolute canopy height error (MAEz) and Wilcoxon test. The results of the first chapter demonstrate that CHIS+GPS/GLONASS model has the best results in identifying invasive species when compared to the k-means and NGRDI models. Precision tests for the CHIS+GPS/GLONASS model in sample area 1 and 2 were 0.973 and 0.9, respectively; k-means 0.209 and 0.6; NGRDI 0.795 and 0.518. The results of the second chapter demonstrate that CHIS+GPS/GLONASS model presents faults in the identification of invasive species when compared to the CHIS+RTK model, being less accurate in the classification of invasive species selection heights. Spearman's correlation test for sample area 1 was 0.56 and 0.55 for sample area 2. RMSEz for sample area 1 was 0.17 cm and 0.12 cm for MAEz. A sample area 2 or RMSEz was 0.24 cm and 0.19 cm for the MAEz. The Wilcoxon test was significant for areas such as sample areas. The CHIS model proved to be a promising technique for identification of invasive species. It was exhibited with other accessory models, and its accuracy was considered good, since the largest difference in height errors was 0.24 cm and could be It is used in research that does not require great precision, as examples of research that has as object research, arboreal vegetation, where small differences in accuracy are not large.
- ItemUso de imagens aéreas de alta resolução espacial para a detecção e caracterização de processos erosivos(Universidade Federal de Mato Grosso, 2020-03-17) Weis, Maíra Guarlot; Silva, Normandes Matos da; 614.673.591-49; http://lattes.cnpq.br/2644207249389541; Silva, Normandes Matos da; 614.673.591-49; http://lattes.cnpq.br/2644207249389541; Mioto, Camila Leonardo; 060.028.399-94; http://lattes.cnpq.br/2846355335199799; Bolognez, Anny Keli Aparecida Alves Cândido; 014.959.971-46; http://lattes.cnpq.br/9425404181564784Space technologies have allowed productivity gains and an improvement in cost-benefit, being the case of most activities that depend on a spatio-temporal analysis of their occupation on the Earth's surface. Even with all the technological advances, georeferenced images still present positional uncertainties and, therefore, their quality must be evaluated in order to increase the accuracy of the generated products. In Brazil, this assessment can be made from the Cartographic Accuracy Standard for Digital Cartographic Products (PECPCD) defined by the Technical Specification for the Acquisition of Vector Geospatial Data (ET-ADGV) (DSG, 2011), being based on the Standard of Cartographic Accuracy (PEC) defined in Decree-Law no. 89,817 of 1984, which regulates the classification of products as to their accuracy. In this work, the objective was to use control points collected with a GNSS receiver to reduce the uncertainties / positional errors of georeferenced images in order to contribute to the search for functional and dynamic forms of management, control and environmental recovery. The study area is located in the northeastern region of the municipality of Rondonópolis - MT, with approximately 77 hectares. For the mapping of the area, aerial photographs of high spatial resolution were used, obtained by means of an RPA model DJI Phantom 4 Pro, and six control points were collected in the area using a GNSS Topcon Hiper V receiver. Data processing was performed using the Agisoft Metashape Professional software. As a final product, the Digital Terrain Model - MDT was obtained together with the level curves and, for comparative purposes, two processing reports were generated, one before the insertion of the support points and the other containing the points. The insertion of the control points significantly decreased the projection errors contained in the referenced images, whereas before the total error in the x, y and z axes was estimated at 8.507m and after the insertion the error became 0.191m.